Urban-rural gradient detection using multivariate spatial analysis and landscape metrics

Vizzari, Marco; Sigura, Maurizia

doi:10.4081/jae.2013.333

Cited by 10 publications

(7 citation statements)

References 35 publications

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“…This fact illustrates that the orientation of agricultural production is no longer the main activity of local communities. Note how agriculture in these areas can supply key services derived from its environmental, social, and economic functions in response to the consumption-oriented requirements of urban society [30].…”

Section: Resultsmentioning

confidence: 99%

Spatial Transformation of New City Area: Economic, Social, and Environmental Sustainability Perspective of Makassar City, Indonesia

Surya¹,

Syafri²,

Abubakar³

et al. 2020

Journal of Southwest Jiaotong University

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The spatial transformation of new urban areas into industrial urban areas impacts spatial structure, spatial patterns, and environmental degradation. This study aims to analyze the spatial transformation work as a determinant of the development of the new urban area of Metro Tanjung Bunga Makassar and analyze the relationship of spatial expansion, land use change and population increase for the growth of new city areas and the sustainable development of the Metro Tanjung Bunga area, Makassar city. The data for this study has been obtained through observation, surveys and documentation. The research approach used is a sequential explanation. According to the results, that excessive urbanization and maximum compaction led to spatial expansion towards the development of the new urban area of Metro Tanjung Bunga. Moreover, the increase in number has a dominant influence with a value of 32.3% on the growth of the new city area of Metro Tanjung Bunga, Makassar City. Spatial expansion, land use change, and population increase were determinants of growth factors in the new urban areas and they also had a significant impact on environmental quality degradation. This study recommends the importance of considering the impact of new urban spatial areas for the formulation of strategic policies on sustainable development as an effort to meet national development targets for the case of Metropolitan Cities in Indonesia.

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Section: Resultsmentioning

confidence: 99%

Spatial Transformation of New City Area: Economic, Social, and Environmental Sustainability Perspective of Makassar City, Indonesia

Surya¹,

Syafri²,

Abubakar³

et al. 2020

Journal of Southwest Jiaotong University

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“…Even in urban landscapes, where different human activities are sometimes clearly delimited into different areas of the city, we believe that GSM vector metrics represent a step forward in that they enable a more accurate, more realistic representation of urban patterns (Luck & Wu, 2002; Vizzari & Sigura, 2013), which allows them to be measured and compared. These metrics complement existing software packages and tools mentioned above (Section 2).…”

Section: Methodsmentioning

confidence: 99%

Adapting moving‐window metrics to vector datasets for the characterization and comparison of simulated urban scenarios

Molinero‐Parejo,

Aguilera‐Benavente,

Gómez‐Delgado

2024

Transactions in GIS

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Descriptive scenarios about the possible evolution of land use in our cities are essential instruments in urban planning. Although the simulation of these scenarios has enormous potential, further characterization is needed in order to be able to evaluate and compare them so as to provide more effective support for public policy. One of the most commonly used tools for assessing these scenarios is spatial moving‐window metrics, a useful mechanism for extracting accurate information from simulated land‐use maps on urban diversity and urban growth patterns. This article seeks to explore this question further and has two main aims. First, to develop and implement vSHEI and vLEI, two multiscale composition and configuration vector moving‐window metrics for calculating urban diversity and urban growth patterns. Second, to test these metrics using the spatially explicit simulation of three prospective scenarios in the Henares Corridor (Spain), comparing the results and analyzing how well the scenario narratives match their spatial configuration, as measured using vSHEI and vLEI. Via the implementation of vSHEI and vLEI, we obtained urban diversity and urban expansion values at a local level, offering more precise and more realistic, mappable information on the composition and configuration of urban land use than that provided by raster metrics or by vector Patch‐Matrix model metrics. We also used these metrics to test whether the simulated scenarios matched their description in the narrative storylines. Our results demonstrate the potential of vector moving‐window metrics for characterizing the urban patterns that might develop under different scenarios at the parcel level.

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“…Administrative areas are usually characterized by complex landscapes [40][41][42], and so, policy-makers need ES spatial accounting tools that can deal with this complexity in order to identify where to manage ESs. Existing spatial ES indicators often do not match policy maker's needs.…”

Section: Scale (Mis)matches: Supply-demand Areas and The Planning Regmentioning

confidence: 99%

Integrating Ecosystem and Urban Services in Policy-Making at the Local Scale: The SOFA Framework

2018

Self Cite

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Despite ecosystem services having been broadly studied in the scientific literature, they are still hardly integrated in policy-making and landscape management. The lack of operative tools for their application is a main limiting factor of such operationalization. In this work, a framework including 53 livability services produced by the biophysical and socioeconomic subsystem, or by their interaction, was developed considering a local study area. All the services were characterized in terms of the need to access their Service Benefiting Areas (SBAs, the geographical units where the services benefit consumers) from the Use Regions (URs, the usual location of users). Moreover, the Service-Providing Areas (SPAs, the geographical unit where the service is produced) were also classified and characterized. Such analysis, together with empirical observations, helped to classify the spatial relationships between the SPAs, SBAs and URs of each service. In addition to a list of detailed information about all the services included in the framework, a visual scheme representing the different SBA types and an operational flow diagram synthesizing the spatial organization of service flow were designed to apply the methodology in other study areas. Two examples show the practical applicability in policy-making of the whole framework for supporting different aspects of local decision-making.

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Urban-rural gradient detection using multivariate spatial analysis and landscape metrics

Cited by 10 publications

References 35 publications

Spatial Transformation of New City Area: Economic, Social, and Environmental Sustainability Perspective of Makassar City, Indonesia

Spatial Transformation of New City Area: Economic, Social, and Environmental Sustainability Perspective of Makassar City, Indonesia

Adapting moving‐window metrics to vector datasets for the characterization and comparison of simulated urban scenarios

Integrating Ecosystem and Urban Services in Policy-Making at the Local Scale: The SOFA Framework

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